ByongSuk Choi

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

ByongSuk Choi is a researcher whose work lies at the intersection of robotics and auditory perception, with a particular focus on human-robot interaction. His key research areas include sound source localization, robust signal processing for mobile platforms, and intelligent robotic interfaces. Choi’s major contribution is a pioneering method for robustly estimating sound direction in dynamic environments, where both the robot and the sound source may be moving. Unlike conventional approaches, his technique estimates sound direction at short time intervals, effectively countering the deterioration caused by motion. This work, published in 2008, has garnered 11 citations and remains a foundational reference for researchers developing real-time auditory interfaces for mobile robots. By integrating discrete Kalman filtering into the estimation process, Choi enhanced the accuracy and stability of sound tracking, enabling more natural and responsive robot communication. His research bridges the gap between theoretical signal processing and practical robotic applications, offering valuable insights for engineers and students working on autonomous systems, assistive robotics, and multimodal interaction.